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Paper Citation Record · LEDGER

Dimension Reduction for Curves: Simplified and Generalized

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.03112.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.03112 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:48:41.431896Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

38 of 38 outbound references displayed

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  • verified fuzzy0
  • unresolved29
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 59d49607-e470-4fdf-a971-765b3cce7f63 · outbound

This paper cites Agarwal, Sariel Har - Peled, and Kasturi R.

Dimension Reduction for Curves: Simplified and Generalized Agarwal, Sariel Har - Peled, and Kasturi R

Reference 1

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Observation 7bde6dc5-b3fc-44a7-b988-bd2dcc0c7e3f · outbound

This paper cites Geometric approximation via coresets.

Dimension Reduction for Curves: Simplified and Generalized Geometric approximation via coresets

Reference 2

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Observation 5793715e-602b-4d57-b7ec-5fa0e1e50c4c · outbound

This paper cites Optimal Dimension-Free Sampling for Regularized Classification.

Dimension Reduction for Curves: Simplified and Generalized Optimal Dimension-Free Sampling for Regularized Classification

Reference 3

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Observation 1547333e-5962-4842-9b24-64c541f553c4 · outbound

This paper cites Phillips.

Dimension Reduction for Curves: Simplified and Generalized Phillips

Reference 4

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Observation 2376154e-4323-42eb-9b6c-067ead980547 · outbound

This paper cites Can we compute the similarity between surfaces? Discrete & Computational Geometry , 43(1):78--99, 2010.

Dimension Reduction for Curves: Simplified and Generalized Can we compute the similarity between surfaces? Discrete & Computational Geometry , 43(1):78--99, 2010

Reference 5

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Observation dd131ed7-aec6-40a1-a7c0-89f4ac57a01e · outbound

This paper cites Computing the Fr\'echet distance between two polygonal curves.

Dimension Reduction for Curves: Simplified and Generalized Computing the Fr\'echet distance between two polygonal curves

Reference 6

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Observation 98af0fbb-21db-4d01-ab8b-c03d2bc70dce · outbound

This paper cites Approximate clustering via core-sets.

Dimension Reduction for Curves: Simplified and Generalized Approximate clustering via core-sets

Reference 7

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Observation 4f715955-dfd9-49f2-a9db-d0bcd8d6e29e · outbound

This paper cites A simple proof of the restricted isometry property for random matrices.

Dimension Reduction for Curves: Simplified and Generalized A simple proof of the restricted isometry property for random matrices

Reference 8

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Observation 46afcf03-f4c4-4df4-acdd-351345072267 · outbound

This paper cites (k,l)-medians clustering of trajectories using continuous dynamic time warping.

Dimension Reduction for Curves: Simplified and Generalized (k,l)-medians clustering of trajectories using continuous dynamic time warping

Reference 9

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Observation 8069dc4f-9b71-4080-bd74-cfedd292af04 · outbound

This paper cites On generalization bounds for projective clustering.

Dimension Reduction for Curves: Simplified and Generalized On generalization bounds for projective clustering

Reference 10

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Observation c9ae88f5-e6c9-47d4-b585-eb18f192334b · outbound

This paper cites Computing the F r \' e chet distance between simple polygons in polynomial time.

Dimension Reduction for Curves: Simplified and Generalized Computing the F r \' e chet distance between simple polygons in polynomial time

Reference 11

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Observation f1a68169-ba01-4fa6-821e-96e1588acf96 · outbound

This paper cites Computing continuous dynamic time warping of time series in polynomial time.

Dimension Reduction for Curves: Simplified and Generalized Computing continuous dynamic time warping of time series in polynomial time

Reference 12

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Observation 4b60ba31-e91b-488f-9e32-bc64aa0f6498 · outbound

This paper cites Stable signal recovery from incomplete and inaccurate measurements.

Dimension Reduction for Curves: Simplified and Generalized Stable signal recovery from incomplete and inaccurate measurements

Reference 13

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Observation d1e40ffb-0107-401b-b874-a692c964547b · outbound

This paper cites Faster core-set constructions and data stream algorithms in fixed dimensions.

Dimension Reduction for Curves: Simplified and Generalized Faster core-set constructions and data stream algorithms in fixed dimensions

Reference 14

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Observation 9af6244a-b20d-4939-8eee-50fa461df9fc · outbound

This paper cites Clarkson and David P.

Dimension Reduction for Curves: Simplified and Generalized Clarkson and David P

Reference 15

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Observation 8bc3845c-a8e2-4ce5-ab99-d5ae6a37a5e0 · outbound

This paper cites A tight VC -dimension analysis of clustering coresets with applications.

Dimension Reduction for Curves: Simplified and Generalized A tight VC -dimension analysis of clustering coresets with applications

Reference 16

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Observation 65e0ec65-968b-4e56-942f-f0e855691822 · outbound

This paper cites Fast approximations and coresets for (k, ) -median under dynamic time warping.

Dimension Reduction for Curves: Simplified and Generalized Fast approximations and coresets for (k, ) -median under dynamic time warping

Reference 17

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Observation 39f2cd55-e26c-4d86-ae92-0f7474548465 · outbound

This paper cites an unresolved cited work.

Dimension Reduction for Curves: Simplified and Generalized Unresolved cited work

Reference 18

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Observation 9cbb7ae1-3508-42b2-8d65-9eb649c05213 · outbound

This paper cites Probabilistic embeddings of the Fr\'echet distance.

Dimension Reduction for Curves: Simplified and Generalized Probabilistic embeddings of the Fr\'echet distance

Reference 19

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Observation b6d37adb-7e08-412f-a52f-9aee867f8991 · outbound

This paper cites Mahoney, and David P.

Dimension Reduction for Curves: Simplified and Generalized Mahoney, and David P

Reference 20

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Observation 85c45823-8479-4e51-b542-6803344cc86f · outbound

This paper cites Vincent Poor, and Shlomo Shamai.

Dimension Reduction for Curves: Simplified and Generalized Vincent Poor, and Shlomo Shamai

Reference 21

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Observation faf1d087-3573-4127-bae3-13d234fd7265 · outbound

This paper cites Computing discrete F r \'e chet distance.

Dimension Reduction for Curves: Simplified and Generalized Computing discrete F r \'e chet distance

Reference 22

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Observation 5090f814-656b-4114-bc7f-5d51483e8ddb · outbound

This paper cites Turning B ig D ata into tiny data: Constant-size coresets for k-means, PCA , and projective clustering.

Dimension Reduction for Curves: Simplified and Generalized Turning B ig D ata into tiny data: Constant-size coresets for k-means, PCA , and projective clustering

Reference 23

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Observation b7b1f03f-791b-41bc-9ce9-ed72ebdfcd1f · outbound

This paper cites Stable distributions, pseudorandom generators, embeddings, and data stream computation.

Dimension Reduction for Curves: Simplified and Generalized Stable distributions, pseudorandom generators, embeddings, and data stream computation

Reference 24

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Observation ea8b94f3-fcab-4e47-8d3a-5fbca9be2134 · outbound

This paper cites Extensions of Lipschitz maps into a Hilbert space.

Dimension Reduction for Curves: Simplified and Generalized Extensions of Lipschitz maps into a Hilbert space

Reference 25

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Observation aa10aa13-b95d-4940-ad59-45dd653d4692 · outbound

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Dimension Reduction for Curves: Simplified and Generalized Unresolved cited work

Reference 26

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Observation fab66f9d-b62e-4d46-8fd9-79e64f924ad9 · outbound

This paper cites Improved learning via k- DTW : A novel dissimilarity measure for curves.

Dimension Reduction for Curves: Simplified and Generalized Improved learning via k- DTW : A novel dissimilarity measure for curves

Reference 27

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Observation f864fbf4-e201-451f-997a-99556d677d53 · outbound

This paper cites Woodruff.

Dimension Reduction for Curves: Simplified and Generalized Woodruff

Reference 28

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Observation e6ec936c-ac69-4d6a-95f9-fe59d60ba2e5 · outbound

This paper cites Random projections and sampling algorithms for clustering of high-dimensional polygonal curves.

Dimension Reduction for Curves: Simplified and Generalized Random projections and sampling algorithms for clustering of high-dimensional polygonal curves

Reference 29

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Observation aa1c345e-3273-4267-80fb-c19235487e00 · outbound

This paper cites Coresets and sketches for regression problems on data streams and distributed data.

Dimension Reduction for Curves: Simplified and Generalized Coresets and sketches for regression problems on data streams and distributed data

Reference 30

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a409ebfc-c28b-43f5-901c-e8a4c9b55565 · outbound

This paper cites Phillips.

Dimension Reduction for Curves: Simplified and Generalized Phillips

Reference 31

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Observation 9621b673-ee46-4e78-a949-ed148fceb5bc · outbound

This paper cites Terminal dimension reduction for time series with applications.

Dimension Reduction for Curves: Simplified and Generalized Terminal dimension reduction for time series with applications

Reference 32

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Observation f007f4ca-43f6-4876-beea-e4080eea3fd2 · outbound

This paper cites The volume of convex bodies and Banach space geometry.

Dimension Reduction for Curves: Simplified and Generalized The volume of convex bodies and Banach space geometry

Reference 33

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Observation 35b9bbb3-cdd4-43ca-8dcd-637845c4ba21 · outbound

This paper cites Random projections for curves in high dimensions.

Dimension Reduction for Curves: Simplified and Generalized Random projections for curves in high dimensions

Reference 34

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 6cdcb2fa-3735-4274-be73-7cf7f6790719 · outbound

This paper cites Random projections for curves in high dimensions.

Dimension Reduction for Curves: Simplified and Generalized Random projections for curves in high dimensions

Reference 35

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 33668560-8fbc-449d-ab7d-7422a7ee8de8 · outbound

This paper cites Improved approximation algorithms for large matrices via random projections.

Dimension Reduction for Curves: Simplified and Generalized Improved approximation algorithms for large matrices via random projections

Reference 36

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Observation c34c4f3a-ced5-452f-8d3b-e1d9d2d89d61 · outbound

This paper cites Woodruff.

Dimension Reduction for Curves: Simplified and Generalized Woodruff

Reference 37

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Observation 4bf97637-b222-45df-81aa-e44968e75373 · outbound

This paper cites Woodruff.

Dimension Reduction for Curves: Simplified and Generalized Woodruff

Reference 38

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